User agent detail

WhatsApp/2.11.102 Android/2.2.1 Device/HTC-HTC_Wildfire
GeneralDeviceBot
ProviderBrowserEngineOSBrandModelTypeIs mobileIs touchIs botNameTypeParse timeActions
Source result (test suite)
ua-parser/uap-core
vendor/thadafinser/uap-core/tests/test_device.yaml
HTCHTC_Wildfire Detail
Providers
BrowscapPhp
6012
No result found
DonatjUAParser
v0.5.0
WhatsApp 2.11.102closeclosecloseclosecloseclosecloseclosecloseclose0 Detail
NeutrinoApiCom
Android Browser closeAndroid 2.2.1HTCWildfiremobile-browseryescloseclose0.29403 Detail
PiwikDeviceDetector
3.5.2
WhatsApp 2.11 Android 2.2HTCHTC Wildfiresmartphoneyes0.004 Detail
SinergiBrowserDetector
6.0.0
Navigator closeAndroid closecloseyesclosecloseclose0 Detail
UAParser
v3.4.5
closeAndroid 2.2.1HTCHTC_Wildfirecloseclosecloseclose0.002 Detail
UserAgentStringCom
No result found
WhatIsMyBrowserCom
Stock Android Browser Android HTC HTCcloseclosecloseclosecloseclose0.40804 Detail
WhichBrowser
2.0.10
WhatsApp 2.11 Android 2.2.1HTCWildfiremobile:smartyescloseclose0.10901 Detail
Woothee
v1.2.0
closeclosecloseclosesmartphoneclosecloseclose0.001 Detail
Wurfl
1.6.4
closeLinux Smartphoneyesyescloseclose0.072 Detail

About this comparison

The primary goal of this project is simple
I wanted to know which user agent parser is the most accurate in each part - device detection, bot detection and so on...

The secondary goal is to provide a source for all user agent parsers to improve their detection based on this results.

You can also improve this further, by suggesting ideas at ThaDafinser/UserAgentParserComparison

The comparison is based on the abstraction by ThaDafinser/UserAgentParser
Comparison created 2016-02-13 13:28:45 | by ThaDafinser